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Multi-objective optimization study on multi-energy coupled system based on transient simulation
Author: CUI Mengran,GUO Jianxiang,LI Wenzhuo,TIAN Xueqin,WANG Na,SUN Jinfei Time: 2022-05-11 Counts:

doi:10.16186/j.cnki.1673-9787.2020100005

Received:2020/10/06

Revised:2021/04/05

Published:2022/05/15

Multi-objective optimization study on multi-energy coupled system based on transient simulation

CUI Mengran1, GUO Jianxiang1, LI Wenzhuo1, TIAN Xueqin2, WANG Na2, SUN Jinfei1

1.Shandong Key Laboratory of Thermal Utilization and Energy Saving Equipment Technology Qingdao University of Technology Qingdao 266033 Shandong, China;2.State Power Economic Research Institute Beijing  102209 China

Abstract: Based on the dynamic cooling,heating and power load demands of regional buildings , a transient cal- culation model of the coupled soil-source heat pump of cooling, heating and electricity supply system for gas turbines was constructed. Based on the transient simulation of the load and installations system , a multi-objective optimization model was proposed considering the economy, environment and primary energy consumption of the system. A method was proposed to avoid subjective influence of weighting coefficient selection on optimiza- tion results ,this method not only reflected the dynamic matching of energy supply system and load demand, but also accorded with the principle of multi-objective optimization objectively. The optimization results for the dy- namic cooling , heating and electricity load of a hospital showed that, compared with the soil-source heat pump system and the subsupply system( gas-fired boiler and electric refrigerating unit) , the annual cost saving rate(M1) was 12.4% and -3.8% respectively the primary energy saving rate M2 was 12. 1% and 43.5% respectively and the shadow cost saving rateM3 of environmental pollutants was 50.1% and 57.2% respectively.

Key words:combined cooling heating and power system;soil-source heat pump;transient simulation;multi-objective optimization;weighting coefficient

  基于瞬态模拟的多能耦合系统多目标优化研究_崔梦然.pdf

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